Abstract: Method for automated and quantitative assessment of multiple direct hydrocarbon indicators (“DHI's”) extracted from seismic data. DHI's are defined in a quantitative way (33), making possible a method of geophysical prospecting based on quantification of DHI anomalies. Instead of working in a particular spatial region of seismic data pre-defined as a hydrocarbon opportunity, the present invention works on entire data volumes derived from the measured seismic data (31), and identifies opportunities based on quantified DHI responses. In some embodiments, a series of algorithms utilizes the geophysical responses that cause DHI's to arise in seismic data to search entire data sets and identify hydrocarbon leads based on the presence of individual and/or combinations of DHI's (34).

Abstract: Method and system is described for modeling one or more geophysical properties of a subsurface volume. In one embodiment, a method of modeling the subsurface comprises obtaining one or more subsurface volume and obtaining an interpretation of the subsurface volume. One or more flexible geologic concepts are defined and applied to the interpretation of the subsurface volume. The one or more geologic concepts comprise one or more flexible geologic concepts. A modified interpretation of the subsurface volume is obtained based upon the applied geologic concepts.

Abstract: Method and system is described for modeling one or more geophysical properties of a subsurface volume. The method includes extracting locations from the data volume and combining them into an object, for example a horizon. The extraction may begin with selecting one or more initial traces, assigning labels to each sample of each trace, selecting a propagation pattern, and propagating the labels from the initial traces along a vector volume. Then, locations with the same label are extracted (1106). As an alternative to label propagation, a specific type of labeled volume (1102) may be obtained, such as a stack of surfaces (1132). The object may then be further modified or utilized to enhance the process of producing hydrocarbons.

Abstract: Method for segmenting a geophysical data volume such as a seismic data volume (10) for ranking, prioritization, visualization or other analysis of subsurface structure. The method takes any initial segmentation (11) of the data volume, and progressively reduces the number of segments by pair combination (13) so that an optimal stage of combination may be determined and used for analysis (15).

Abstract: System for controlling an injection of fuel in an engine is disclosed. The engine includes a cylinder and a first fuel injector to inject a first fuel in the cylinder. The system includes a sensor disposed on or proximate to the first fuel injector and configured to generate an electrical signal indicative of at least one of a start of the injection and an end of the injection of the first fuel. The system further includes a controller configured to adjust at least one of a mass and the start of injection of the first fuel to be injected by the first fuel injector based on the electrical signal. A dual-fuel engine employing the system for controlling an injection of fuel in an engine is also disclosed. Moreover, method and non-transitory computer readable media for controlling an injection of the fuel are also disclosed.

Abstract: A method for examining uncertainty and risk associated with the development of a hydrocarbon resource by rapidly generating and analyzing variations of reservoir models realized from scenarios. The method and system may include instantiating realizations for objects based on the selected parameter ranges; and combining instantiated realizations of the objects into a reservoir model.

Abstract: Method and system are described for modeling one or more geophysical properties of a subsurface volume. The method includes computing vector volumes to enhance subsurface modeling and update these vector volumes. The vectors are estimated (106) from the data, for example dip or azimuth, and then the vector volume may be updated by an optimization process (808). Flattening the original data (802) may assist the vector estimation, and associating data traces and samples of traces with labels (108) may assist the flattening. The vector volume may then be used to extract horizons (110) and generate a stratigraphic model (112) to enhance the process of producing hydrocarbons (114).

Abstract: Method for representing seismic data as a spatially varying, second-order tensor field (23). The spatial relationships expressed in these tensors are exploited to link, classify, or separate neighborhoods (22); or to infer global or relational properties among them, thereby suggesting geobodies despite a noisy background. The tensors may be decomposed into their fundamentals that may either be used directly as derivative datasets or attributes, or may be used to facilitate linkage, classification, or separation of neighborhoods or analysis of linkage patterns. Decomposition may be by eigenvalues, with the eigenvalues used to define attributes called ballness, plateness and stickness (24). Alternatively, connections may be made between points in the data where the tensor has been computed, called tokens (21), based on tensor voting and polarity. Or, the connections may be based on a distance measure between tokens.

Abstract: Method and system are described for generating a stratigraphic model of a subsurface volume. Measured geophysical data are converted into a vector volume (106) by assigning to each sample in each trace in the data volume a vector representing dip, azimuth or confidence. Then a labeled volume is generated from the vector volume by assigning a label to each sample in an initial trace (1006), then selecting a propagation pattern (1008) and propagating the labels to other traces (1010). Horizons can be extracted (110) from the labeled volume, and utilized to enhance the process of producing hydrocarbons (114).

Abstract: Method and system is described for modeling one or more geophysical properties of a subsurface volume. The method includes extracting locations from the data volume and combining them into an object, for example a horizon. The extraction may begin with selecting one or more initial traces, assigning labels to each sample of each trace, selecting a propagation pattern, and propagating the labels from the initial traces along a vector volume. Then, locations with the same label are extracted (1106). As an alternative to label propagation, a specific type of labeled volume (1102) may be obtained, such as a stack of surfaces (1132). The object may then be further modified or utilized to enhance the process of producing hydrocarbons.

Abstract: A system and methods for analyzing seismic data are provided herein. The method includes identifying, via a computing device, a representation of a seismic data set (1802) and determining a number of feature descriptors corresponding to each of a number of aggregates within the representation (1804). The method also includes identifying a query relating to the representation and one or more vocabulary definitions relating to the query (1806), analyzing the representation to compute a likelihood that each of the aggregates satisfies the query (1808), and returning a result of the query (1810).

Abstract: The described method and system assist an interpreter in analyzing seismic (702), geophysical, or geoscience data. In particular, the method and system includes defining a conceptual model (712) of subsurface hydrocarbon accumulations; defining an interpretational model (710) linking observations to concepts; obtaining and entering observations into a database; querying the database (714) for instances of particular concepts or classifying observations with regard to different concepts; and repetition of the above steps for additional iterations.

Abstract: Method for the segmentation and classification of seismic or other geophysical data. Curves or surfaces are identified in the geophysical data (10), then pairs of the curves or surfaces (12) are matched up according to a selected measure of shape similarity (13) such as the Hausdorff distance between members of a pair. The matched curves or surfaces (15) are used to define geobodies or faults in the geophysical data volume (16). The same inventive concept may also be used to warp/align (register) two different data volumes (72).

Abstract: Method for generating a new family of seismic attributes sensitive to seismic texture that can be used for classification and grouping of seismic data into seismically similar regions. A 2D or 3D data analysis window size is selected (23), and for each of multiple positions (25) of the analysis window in the seismic data volume, the data within the window are transformed to a wavenumber domain spectrum (26). At least one attribute of the seismic data is then defined based on one or more spectral properties, and the attribute is computed (28) for each window, generating a multidimensional spectral attribute data volume (29). The attribute data volume can be used for inferring hydrocarbon potential, preferably after classifying the data volume cells based on the computed attribute, partitioning the cells into regions based on the classification, and prioritizing of the regions within a classification.

Abstract: Method for decomposing a complexly shaped object in a data set, such as a geobody (31) in a seismic data volume, into component objects more representative of the true connectivity state of the system represented by the data set. The geobody is decomposed using a basis set of eigenvectors (33) of a connectivity matrix (32) describing the state of connectivity between voxels in the geobody. Lineal subspaces of the geobody in eigenvector space are associated with likely component objects (34), either by a human interpreter (342) cross plotting (341) two or more eigenvectors, or in an automated manner in which a computer algorithm (344) detects the lineal sub-spaces and the clusters within them.

Abstract: A fully automated method for correcting errors in one interpretation (13) of seismic data based on comparison to at least one other interpretation (14) of the same subsurface region. The errors may occur in any feature of the seismic data volume, for example a horizon, surface, fault, polyline, fault stick, or geo-body. In some embodiments of the invention, an error may be a hole in a horizon (53), and the whole is patched by a piece of a horizon in another interpretation (55). In an alternative embodiment of the invention, a single interpretation may be used to repair itself, for example by identifying similarly shaped, adjacent horizons (67), and merging them (68).

Abstract: Method for automated and quantitative assessment of multiple direct hydrocarbon indicators (“DHI's”) extracted from seismic data. DHI's are defined in a quantitative way (33), making possible a method of geophysical prospecting based on quantification of DHI anomalies. Instead of working in a particular spatial region of seismic data pre-defined as a hydrocarbon opportunity, the present invention works on entire data volumes derived from the measured seismic data (31), and identifies opportunities based on quantified DHI responses. In some embodiments, a series of algorithms utilizes the geophysical responses that cause DHI's to arise in seismic data to search entire data sets and identify hydrocarbon leads based on the presence of individual and/or combinations of DHI's (34).

Abstract: A method of improving a geologic model of a subsurface region. One or more sets of parameter values are selected. Each parameter represents a geologic property. A cost and a gradient of the cost are obtained for each set. A geometric approximation of a parameter space defined by one or more formations is constructed. A response surface model is generated expressing the cost and gradient associated with each formation. When a finishing condition is not satisfied, at least one additional set is selected based at least in part on the response surface model associated with previously selected sets. Parts of the method are repeated using successively selected additional sets to update the approximation and the response surface model until the finishing condition is satisfied. Sets having a predetermined level of cost to a geologic model of the subsurface region and/or their associated predicted outcomes are outputted to update the geologic model.

Abstract: Method and system are described for modeling one or more geophysical properties of a subsurface volume (102). The present disclosure provides method of modeling the subsurface comprising obtaining one or more subsurface volumes and performing at least two operations (104) on the subsurface volumes. A graph of operations is determined (106) based on each of the at least two operations in which the graph of operations includes a description of each of the at least two operations and a flow path for the each of the at least two operations (108). The graph of operation is stored (110). A specific operation within the graph of operations may then be identified (112). An additional operation may be created and connected to the graph of operations at a node associated with the specific operation to provide an additional branch to the graph of operations (114).

Abstract: Method and system is described for modeling one or more geophysical properties of a subsurface volume. In one embodiment, a method of modeling the subsurface comprises obtaining one or more subsurface volume and obtaining an interpretation of the subsurface volume. One or more flexible geologic concepts are defined and applied to the interpretation of the subsurface volume. The one or more geologic concepts comprise one or more flexible geologic concepts. A modified interpretation of the subsurface volume is obtained based upon the applied geologic concepts.